Xiao Jian, Lu Xiaoxiao, Chen Xi, Zou Yong, Liu Aibin, Li Wei, He Bixiu, He Shuya, Chen Qiong
Department of Geriatrics, Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, China.
Department of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, China.
Oncotarget. 2017 May 3;8(42):71759-71771. doi: 10.18632/oncotarget.17606. eCollection 2017 Sep 22.
Lung adenocarcinoma (LADC) and squamous cell carcinoma (LSCC) are the most common non-small cell lung cancer histological phenotypes. Accurate diagnosis distinguishing between these two lung cancer types has clinical significance. For this study, we analyzed four Gene Expression Omnibus (GEO) datasets (GSE28571, GSE37745, GSE43580, and GSE50081). We then imported the datasets into the Gene-Cloud of Biotechnology Information online platform to identify genes differentially expressed in LADC and LSCC. We identified DSG3 (desmoglein 3), KRT5 (keratin 5), KRT6A (keratin 6A), KRT6B (keratin 6B), NKX2-1 (NK2 homeobox 1), SFTA2 (surfactant associated 2), SFTA3 (surfactant associated 3), and TMC5 (transmembrane channel-like 5) as potential biomarkers for distinguishing between LADC and LSCC. Receiver operating characteristic curve analysis suggested that KRT5 had the highest diagnostic value for discriminating between these two cancer types. Using the PrognoScan online survival analysis tool and the Kaplan-Meier Plotter, we found that high KRT6A or KRT6B levels, or low NKX2-1, SFTA3, or TMC5 levels correlated with unfavorable prognoses in LADC patients. Further studies will be needed to verify our findings in additional patient samples, and to elucidate the mechanisms of action of these potential biomarkers in non-small cell lung cancer.
肺腺癌(LADC)和肺鳞状细胞癌(LSCC)是最常见的非小细胞肺癌组织学表型。准确诊断这两种肺癌类型具有临床意义。在本研究中,我们分析了四个基因表达综合数据库(GEO)数据集(GSE28571、GSE37745、GSE43580和GSE50081)。然后,我们将这些数据集导入生物技术信息基因云在线平台,以识别在LADC和LSCC中差异表达的基因。我们鉴定出桥粒芯糖蛋白3(DSG3)、角蛋白5(KRT5)、角蛋白6A(KRT6A)、角蛋白6B(KRT6B)、NK2同源盒1(NKX2-1)、表面活性剂相关蛋白2(SFTA2)、表面活性剂相关蛋白3(SFTA3)和跨膜通道样蛋白5(TMC5)作为区分LADC和LSCC的潜在生物标志物。受试者工作特征曲线分析表明,KRT5对区分这两种癌症类型具有最高的诊断价值。使用PrognoScan在线生存分析工具和Kaplan-Meier绘图仪,我们发现LADC患者中高KRT6A或KRT6B水平,或低NKX2-1、SFTA3或TMC5水平与不良预后相关。需要进一步的研究来在更多患者样本中验证我们的发现,并阐明这些潜在生物标志物在非小细胞肺癌中的作用机制。